在英格兰的医院记录中表型神经障碍:使用链接的行政数据的国家出生队列
Ania Zylbersztejn1, Philippa Rees1, Rashmi D'Souza1
1Great Ormond Street Institute of Child Health, University College London, London, UK.
Paediatric and perinatal epidemiology
|July 25, 2025
概括
一个新的表型确定了28个英语小学儿童中的1个的神经障碍. 这些孩子的住院率更高,需要更多的特殊教育需求 (SEN) 支持.
科学领域:
- 儿科健康 儿科健康
- 神经发育障碍 神经发育障碍
- 医疗信息学 医疗信息学
背景情况:
- 患有神经障碍的儿童有复杂的医疗保健和教育需求.
- 链接的行政健康和教育数据可以加强服务间的协作.
- 在医院记录中识别神经障碍对于了解这些需求至关重要.
研究的目的:
- 开发一个诊断代码列表来识别医院入院记录中的神经障碍.
- 描述医院记录的神经障碍儿童及其结果.
- 评估确定的神经障碍现象型的代表性.
主要方法:
- 利用教育和儿童健康洞察链接数据 (ECHILD) 数据库对2003-2009年出生的英国儿童进行了全国队列.
- 与专家临床医生一起开发了一种算法,从医院诊断记录中表型神经障碍.
- 分析了死亡率,住院病例和特殊教育需求 (SEN) 规定,直到11岁.
主要成果:
- 3.6%的儿童在11岁时患有医院记录的神经障碍;常见的诊断包括发育障碍,自闭症,和脑.
- 患有神经障碍的儿童死亡率和入院率较高,占所有入院病例的很大比例.
- 75%的医院记录的神经障碍儿童接受了SEN提供,39%的儿童获得了更密集的支持.
结论:
- 来自医院记录的神经障碍的表型,影响英国28名小学儿童中的1名.
- 这一群体的住院率很高,特殊教育需求 (SEN) 要求很高.
- 现型可以指导对不平等的研究,并为神经障碍儿童提供服务和资源分配提供信息.
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